Custom AI Research Agents: Secure, Smart, and Sustainable Insights

Imagine a market research approach that continuously learns and evolves with your needs. Brands are increasingly partnering with insights experts to develop secure, agentic AI models that maximise the value of market research over time. This isn’t just about incremental improvements; it’s about establishing a dynamic, intelligent system that continuously learns and provides increasingly relevant insights.

This is the power of agentic AI in market research.

Why Create a Custom, Secure Agentic AI for Market Research?

• Enhanced Security and Control. Owning the agent means you control data access, privacy, and compliance. Secure-by-design principles – like layered security, robust access controls, and transparent decision logic – protect sensitive information and significantly reduce the risk of data breaches or unauthorised access.

• Continuous Data Enrichment. By developing your own AI agent, your team can continuously feed proprietary data – campaign results, customer feedback, sales trends – directly into the model. Imagine your AI agent analysing the performance of your latest social media campaign in near real-time, correlating engagement metrics with website conversions and customer segments. This enables the AI to evolve with your brand, delivering increasingly relevant and actionable insights.

• Eliminating Data Silos. Custom agents can be tailored to work seamlessly with your existing CRM, BI, and marketing automation tools, consolidating previously fragmented data sources into a unified, actionable view. This eliminates data silos and provides a holistic understanding of your market and customers.

• Faster, More Accurate Insights. Automated data collection and advanced analysis dramatically reduce the turnaround time for insights from weeks to days – or even hours. This agility allows you to react quickly to market shifts and competitive moves, all while minimising manual errors and the risk of basing decisions on outdated information.

• Unlocking Deeper, Continuous Insights. By establishing your own agent, brand teams can continuously question the AI agent new research questions that may come up only after the research is concluded. This always-on intelligence allows you to uncover deeper "whys" behind your customer behaviour and market dynamics, leading to more strategic and impactful follow-up research initiatives.

  
  

Key Capabilities of Your Agentic AI Model

Having your own agentic AI model unlocks outstanding improvements in your market intelligence process – efficiency, speed, accuracy, value for money. By leveraging a secure, agentic AI model, you can transform your market research into a continuously evolving, high-value asset that empowers every stakeholder.

• Trend Identification. Imagine your own AI agent continuously scanning proprietary and other selected data sources to proactively identify market shifts and emerging trends before they are widely apparent. This isn’t just theory: AI systems in pharma are already analysing real-time data from wearables and health apps to detect changes in patient sentiment and needs before they reach mainstream awareness. The UK’s National Health Service (NHS) has deployed its Foresight model, trained on 57 million patient records, to predict hospitalisations and disease progression, enabling early strategic analysis and the ability to forecast potential market shifts and unmet needs.

• Brand Performance Understanding. Need to understand the underlying drivers of market performance, adoption rates, or patient outcomes related to a specific therapy or device? Your agent can analyse a multitude of interconnected data points—marketing campaign metrics, sales figures, patient feedback, competitor strategies, and even reimbursement changes—to pinpoint the root causes of success or underperformance. For example, healthcare organisations use AI models to dissect why certain therapies underperform, providing comprehensive insights for strategic recommendations. A real example in automotive, BMW leveraged AI-driven root cause analysis to reduce production line issues by 30%, while

• Predictive Insights. A proprietary AI agent can forecast the potential impact of various market scenarios, such as competitor launches, regulatory changes, or shifts in clinical guidelines. The NHS Foresight model, for instance, provides predictive insights by continuously learning from historical data and real-time signals, empowering healthcare leaders to develop proactive strategies for market access, product lifecycle management, and competitive differentiation. A real example in manufacturing, companies like Citic Pacific Special Steel achieved a 15% increase in production throughput using predictive AI models to optimise operations—a testament to the power of proactive, data-driven strategy.

• Uncovering Hidden Signals. Your AI agent can continuously monitor key performance indicators and market signals, flagging unusual patterns or anomalies that might indicate emerging issues (e.g., negative sentiment trends, unexpected changes in adoption rates) or untapped opportunities (e.g., growing interest in specific treatment approaches). In cybersecurity and supply chain management, AI systems process up to 15,000 metrics per second to detect anomalies, enabling organisations to investigate and act on risks or opportunities with incredible speed—often resolving issues 30% faster than traditional methods.

• Customised Insights. Instead of the traditional market research reports, your agent can deliver dynamic and tailored insights to various internal stakeholders. For instance, marketing teams can receive granular analysis of campaign effectiveness linked to physician engagement, R&D can access insights into unmet clinical needs identified in patient feedback, and commercial teams can benefit from predictive models for sales forecasting and market penetration—all driven by the agent’s continuous analysis and the support of insights experts.

These capabilities are not just aspirational—they are already happening.

Building Your Secure Agent: A Collaborative Partnership

While the technical details can be complex, brands should not worry about them. Ensure you work closely with your partner to guide you through the essential steps of the journey to your own agentic AI model.

Making the Most of Your Research Investment

A secure, agentic AI model transforms market research from a series of ad hoc projects into a dynamic, continuous intelligence asset. By feeding your own data and maintaining strict security, you ensure your insights stay relevant, proprietary, and actionable – giving your brand a lasting competitive edge.  

This approach isn’t just about efficiency; it’s about building a smarter, safer, and more valuable research ecosystem that pays dividends as your business grows and evolves.

Unlock a new era of continuous insights with a custom agentic AI model that can transform your marketing strategy.